应用粒子群算法的谐波状态估计量测点综合最优配置

Particle Swarm Optimization-Based Integrated Optimal Configuration for Measuring Point of Harmonic State Estimation

为提高谐波状态估计的准确性和实用性,提出一种基于粒子群算法的谐波状态估计量测点综合最优配置方案。该方案首先选用估计误差协方差的迹作为目标函数,得到适合各次谐波的最优配置方案;再选用平均迹值变化作为目标函数,求得适合多次谐波的综合最优配置方案。并且针对目标函数中σ取值的不足,定义了P-σ特性曲线,使σ取值规范化。选用IEEE-14,IEEE-39及IEEE-145节点系统进行Matlab仿真,验证了综合最优配置的有效性和实用性。

To improve the accuracy and practicality ot harmonic state estimation, a particle swarm optimization-based integrated optimal configuration scheme for measuring point of harmonic state estimation is proposed. In this scheme, firstly the trace of covariance matrix of estimation error is chosen as objective function to attain the optimal configuration scheme suitable to each harmonic; secondly the average variation of trace value is re-chosen as objective function to obtain integrated optimal configuration scheme suitable to all orders of harmonics. To remedy the defect of choosing values of in objective function, the P-o- curve is defined to make the choosing value of 6 normalized. The Matlab-based Simulation results of IEEE 14-bus system, IEEE 39-bus system and IEEE 145-bus system verify the effectiveness and practicality of the proposed integrated optimal configuration.